5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Bayesian Methods for Language Verification

Eluned S. Parris (1), Harvey Lloyd-Thomas (1), Michael J. Carey (1), Jerry H. Wright (2)

(1) Ensigma Ltd, Chepstow, Monmouthshire, UK
(2) Department of Engineering Mathematics, University of Bristol, UK

This paper describes a number of techniques for language verification based on acoustic processing and n-gram language modelling. A new technique is described which uses anti-models to model the general class of languages. These models are then used to normalise the acoustic score giving a 34% reduction in the error rate of the system. An approach to automatically generate discriminative subword strings for language verification is presented. The occurrence of recurrent strings are scored using a Poisson-based significance test. It is shown that when significant sub-strings do occur in the test material they are strong indicators of the target language occurring.

Full Paper

Bibliographic reference.  Parris, Eluned S. / Lloyd-Thomas, Harvey / Carey, Michael J. / Wright, Jerry H. (1997): "Bayesian methods for language verification", In EUROSPEECH-1997, 59-62.